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In this qualitative study, we used grounded theory techniques to analyze transcripts of 29 first-time encounters between oncologists and patients referred to them with previously diagnosed, incurable cancer. We found that 23 (79%) of the transcripts included 166 examples of prognostic talk. The language used ranged from general to personal, with 25% of(More)
OBJECTIVE To describe the content and frequency of communication about health-related quality of life (HRQOL) during outpatient encounters between oncologists and their patients with advanced cancer. METHODS We coded for HRQOL talk in a subset of audio-recorded conversations (each previously found to contain prognostic talk by the oncologist) from the(More)
BACKGROUND Unhealthy alcohol use includes the spectrum of alcohol consumption from risky drinking to alcohol use disorders. Routine alcohol screening, brief intervention (BI) and referral to treatment (RT) are commonly endorsed for improving the identification and management of unhealthy alcohol use in outpatient settings. However, factors which might(More)
BACKGROUND Access to specialty care is challenging for veterans in rural locations. To address this challenge, in December 2009, the Veterans Affairs (VA) Pittsburgh Healthcare System (VAPHS) implemented an electronic consultation (e-consult) program to provide primary care providers (PCPs) and patients with enhanced specialty care access. OBJECTIVE The(More)
OBJECTIVE To test the effects of patient and patient-oncologist relationship factors on the time spent communicating about health-related quality of life (HRQOL) during outpatient clinic encounters between oncologists and their patients with advanced cancer. METHODS Using mixed methods, we coded for duration of HRQOL talk in a subset of audio-recorded(More)
Patient no-shows for scheduled primary care appointments are common. Unused appointment slots reduce patient quality of care, access to services and provider productivity while increasing loss to follow-up and medical costs. This paper describes patterns of no-show variation by patient age, gender, appointment age, and type of appointment request for six(More)
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